LRMs face a complete accuracy collapse beyond certain complexities.
Parshin Shojaee[1]
Their reasoning effort increases with problem complexity up to a point, then declines.
Parshin Shojaee[1]
The fundamental capabilities, scaling properties, and limitations remain insufficiently understood.
Parshin Shojaee[1]
Models demonstrate nuanced relationships between compositional depth and performance.
Parshin Shojaee[1]
Current approaches may be encountering fundamental barriers to generalizable reasoning.
Parshin Shojaee[1]
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